Evidence map›Paper›PMID 24925306›Full record

ReviewThe international journal of neuropsychopharmacology2014

Making sense of deep sequencing.

D Goldman, K Domschke

Open access · bronzeAbstract readReview
In one paragraph

Review in The international journal of neuropsychopharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. SomaticCells · 2024
    Article
  4. Article
  5. Clinical Microbiology: where do we stand?Frontiers in antibiotics · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. The Malignant Role of Exosomes as Nanocarriers of Rare RNA Species.International journal of molecular sciences · 2020
    Review
  13. Minimal Residual Disease Detection in Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2020
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Genetics of generalized anxiety disorder and related traits.Dialogues in clinical neuroscience · 2017
    Review
  20. Personalized therapies in psychiatry: promises, pitfalls and perspectives.Journal of neural transmission (Vienna, Austria : 1996) · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

D GoldmanLaboratory of Neurogenetics, NIAAA, NIH, Rockville, MD,USA.
K DomschkeDepartment of Psychiatry,University of Wuerzburg,Wuerzburg,Germany.
National Institutes of Health · USUniversity of Würzburg · DE

Funding

Integrative genetics of behavior with high throughput technologiesZIAAA000301 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$68.6M
Genetic influences on alcohol use disorder in Native AmericansZIAAA000281 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$6.7M
MOLECULAR GENETIC STUDIES ON ALCOHOLISM IN AMERICAN INDIANS--SOUTHWESTERN TRIBEZ01AA000281 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 1990 to 2008
$1.1M
Intramural NIH HHS Z01 AA000281
6 · The paper itself

Abstract

This review, the first of an occasional series, tries to make sense of the concepts and uses of deep sequencing of polynucleic acids (DNA and RNA). Deep sequencing, synonymous with next-generation sequencing, high-throughput sequencing and massively parallel sequencing, includes whole genome sequencing but is more often and diversely applied to specific parts of the genome captured in different ways, for example the highly expressed portion of the genome known as the exome and portions of the genome that are epigenetically marked either by DNA methylation, the binding of proteins including histones, or that are in different configurations and thus more or less accessible to enzymes that cleave DNA. Deep sequencing of RNA (RNASeq) reverse-transcribed to complementary DNA is invaluable for measuring RNA expression and detecting changes in RNA structure. Important concepts in deep sequencing include the length and depth of sequence reads, mapping and assembly of reads, sequencing error, haplotypes, and the propensity of deep sequencing, as with other types of 'big data', to generate large numbers of errors, requiring monitoring for methodologic biases and strategies for replication and validation. Deep sequencing yields a unique genetic fingerprint that can be used to identify a person, and a trove of predictors of genetic medical diseases. Deep sequencing to identify epigenetic events including changes in DNA methylation and RNA expression can reveal the history and impact of environmental exposures. Because of the power of sequencing to identify and deliver biomedically significant information about a person and their blood relatives, it creates ethical dilemmas and practical challenges in research and clinical care, for example the decision and procedures to report incidental findings that will increasingly and frequently be discovered.

Indexed as

High-Throughput Nucleotide SequencingAnimalsDNAHumansRNADNARNA

Identifiers

PMID24925306
PMCPMC5895101
OpenAlexW2130858638

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.